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Record W3132489731 · doi:10.32799/ijih.v16i1.33218

Strengthening Indigenous Australian Perspectives in Allied Health Education: A Critical Reflection

2021· article· en· W3132489731 on OpenAlexvenueno aff
Danielle Manton, Megan Williams

Bibliographic record

VenueInternational Journal of Indigenous Health · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousCritical reflectionReflection (computer programming)SociologyPolitical scienceEnvironmental ethicsEngineering ethicsGeographyPedagogyEngineeringBiologyEcologyPhilosophyComputer science

Abstract

fetched live from OpenAlex

While professional education in medicine and nursing in Australia has been implementing strategies to increase accessibility for Indigenous Australians, allied health professions remain underdeveloped in this area. Failure to improve the engagement of allied health professions with Indigenous Australians, and failure to increase the numbers of Indigenous staff and students risks perpetuating health inequities, intergenerational disadvantage, and threatens the integrity of professions who have publically committed to achieving cultural safety and health equity between Indigenous and non-Indigenous people. Knowing this, leaders in the allied health professions are asking “What needs to change?” This paper presents a critical reflection on experiences of a university-based Indigenous Health Unit leading the embedding of Indigenous perspectives in allied health curriculum, informed by Indigenous community connections, literature reviews, and research in the context of an emerging community of practice on Indigenous health education. Key themes from reflections are presented in this paper, identifying barriers as well as enablers for change, which include Indigenous community relationship building, education of staff and students, and collaborative research and teaching on Indigenous Peoples’ allied health needs and models of care. These enablers are inherently anti-racism strategies that redress negative stereotypes perpetuated about Indigenous Australians and encourage the promotion of valuable Indigenous knowledges, principles, and practices as strategies that may also help meet the health needs of the general community.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.555
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.040
GPT teacher head0.431
Teacher spread0.391 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations18
Published2021
Admission routes1
Has abstractyes

Explore more

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